Job Id: 20200828006
Job Role: Risk Analyst
Experience: 3+ Years
Job Location: Chennai
Salary: Best in Industry
Vacancies: Not Mentioned
Job Description Paypal Careers Job Vacancies in Chennai Hiring for Risk Analyst in August 2020:
The Credit Risk Analytics team requires a Data Scientist to deliver compelling analytic insights to the leadership of PayPal Credit. The day to day job involves helping inform leadership with data-driven decisions based on analysis of huge data sets in a complex, fast-paced, dynamic environment. Ideal candidates are problem solvers with experience in decision science roles, equipped with strong analytical skills suited to approach varied challenges in complex big data environments. As an Analytics professional, you will be required to drive projects and solutions from start to finish. Having a strong sense of accountability coupled with a passion for delivering crisp data insights and the ability to tell stories through data are essential.
Develop data-driven decisions and insights to support our Credit business, monitor the performance of our Credit products, and adjust priorities according to the dynamic world we operate in.
Analyze large volumes of internal and external data using common data science tools (SAS, SQL, R, Python, etc.) to deliver unique insights into relationships across a wide array of products, platforms, customers, merchants, and experiences.
Develop connections between business problems throughout the Credit Risk domain and deliver analytic solutions to meet the most pressing demands
Communicate complicated analytic results in brief, concise, and brilliant formats best suited to senior audiences
Document, improve, and automate existing PayPal Credit reporting processes to reduce the burden of internal and external reporting requirements on all members of the PayPal Credit team
Manage and improve the process of data collection, ingestion, manipulation, and display for risk related reporting processes
Collaborate with all aspects of the PayPal Credit business including a broad range of partners to plan and deliver fully developed solutions for Risk analytics and reporting
Lead the planning, development, and delivery of analytic and reporting projects from start to finish; includes all stages of project identification, stakeholder engagement, project management, and closeout
Interact regularly with analytic professional communities (INFORMS, CFA Institute etc.) and educational resources to maintain an understanding of the best practices industry-wide
Functional Skills & Behaviors
Solid technical / data-mining skills and ability to work with large volumes of data; extract and manipulate large datasets using common tools such as SQL, SAS, Hadoop, or other programming/scripting languages (Python, Perl, R, etc.) to translate data into business decisions/results
Be data-driven and outcome-focused
Must have good business judgment with demonstrated ability to think creatively and strategically
Must be an intuitive, organized analytical thinker, with the ability to perform detailed analysis
Takes personal ownership; Self-starter; Ability to drive projects with minimal guidance and focus on high impact work
Learns continuously; Seeks out knowledge, ideas and feedback.
Looks for opportunities to build owns skills, knowledge and expertise.
Comfortable with ambiguity and frequent context-switching in a fast-paced environment
Candidate must have proven experience in the ideation, research, discovery, development, implementation, and ongoing monitoring of quantitative solutions for consumer credit or small business credit.
Candidate must have 3+ years of experience in a consumer credit or small business credit -related position, or 3+ years’ experience in performing data management and analytics in the payments or in the e-commerce space
Well-formed foundation of education and work experience in Data Science and Risk Analysis, preferably in applied data science, statistics, mathematics, or computer science
Familiarity with data engineering, data management, data modelling, standard ETL techniques including extract, de-duping, cleansing, integration, and aggregation
Proven experience using common data science tools like R and Python to rapidly solve business problems, preferably with respect to a credit/lending risk organization
Strong UNIX background; working knowledge of Hadoop, Map-Reduce, Hive, Pig
Demonstrated ability to influence critical business outcomes in a matrix based, global environment
Experience with dashboard reporting & data visualization tools (e.g. Tableau, QlikView/Qlik Sense, MS Power BI)
Excellent verbal and written communication and collaboration skills to effectively communicate with both business and technical development teams
At a minimum, candidate must have a bachelor’s degrees in a quantitative discipline (e.g. statistics, data science, computer science, engineering, operations research, or mathematics); preferably an advance degree.
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